ArticleBMC endocrine disorders2022
Low calf circumference can predict nutritional risk and mortality in adults with metabolic syndrome aged over 80 years.
Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic and application guidelines for malnutrition in adult patients (2025 edition).Asia Pacific journal of clinical nutrition · 2025Guideline
- Calf Circumference and All-Cause Mortality: A Systematic Review and Meta-Analysis Based on Trend Estimation Approaches.The journal of nutrition, health & aging · 2022Pooled it
- Maximum calf circumference as a potential index of normal-weight obesity in healthy young males.Journal of physical therapy science · 2026Article
- Arm circumference predicts 12-month mortality in older adults with hip fracture.European geriatric medicine · 2026Article
- Establishment and validation of a machine learning model to stratify malnutrition risk in hospitalized older patients with chronic heart failure.Asia Pacific journal of clinical nutrition · 2026Article
- The association of calf circumference with nutritional risk and mortality in type 2 diabetes aged over 80 years inpatient Chinese.Diabetology & metabolic syndrome · 2025Article
- Association between sarcopenia and weight-adjusted waist index in male patients with type 2 diabetes.BMC endocrine disorders · 2025Article
- Comprehensive profiling of chemokine and NETosis-associated genes in sarcopenia: construction of a machine learning-based diagnostic nomogram.Frontiers in medicine · 2025Article
- Exploring the role of calf circumference as a predisposing factor for intra-hospital delirium: investigating potential gender differences: revealing potential gender variances.BMC geriatrics · 2024Article
- Effectiveness of comparing calf circumference with neck circumference regarding their association with skeletal muscle indices in Japanese nursing home residents.Journal of physical therapy science · 2024Article
- New Perspectives in the Association between Anthropometry and Mortality: The Role of Calf Circumference.The Journal of frailty & aging · 2024Article
- Association of waist-calf circumference ratio, waist circumference, calf circumference, and body mass index with all-cause and cause-specific mortality in older adults: a cohort study.BMC public health · 2023Article
- Indicators predicting the development and improvement of sarcopenia in older adults requiring long-term care.Journal of physical therapy science · 2023Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic disorders and malnutrition are a double burden worldwide. The aim was to determine whether low calf circumference (CC) could predict nutritional risk and the cut-off values of CC for predicting nutritional risk in metabolic syndrome (MetS) patients aged over 80 years. We aimed to evaluate the risk factors for predicting mortality in MetS.
methodsA total of 514 patients aged over 80 years with MetS were enrolled and followed for 2.5 years. On admission, demographic data, CC, and laboratory parameters were obtained. Patients with a Nutritional Risk Screening 2002 (NRS 2002) total score ≥ 3 were considered to have nutritional risk.
resultsThe CC level was significantly lower in the nutritional risk group than in the non-nutritional risk with MetS group (27.1 ± 4.0 cm vs. 30.8 ± 3.9 cm). Logistic regression analysis of nutritional risk revealed that increasing CC (adjusted OR, 0.81; 95% CI, 0.74-0.88) was an independent protective factor against nutrition risk. The best CC cut-off value for predicting nutritional risk according to the NRS 2002 was 28.8 cm. Cox regression multivariate models showed nutritional risk (HR, 2.48; 95% CI, 1.22-5.04) and decreased CC (HR, 2.78; 95% CI, 1.27-5.98) remained independent risk factors for mortality.
conclusionDecreased CC could predict not only nutritional risk but also mortality in MetS patients aged over 80 years. The elderly who had MetS with nutritional risk should be discovered early, early intervention and early treatment. CC may be a valuable index to screen out this population.
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